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The Kaldor‐Kalecki business cycle model

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  • A. Krawiec
  • M. Szydlowski

Abstract

The question of the determination of investment decisions and their links with economicactivity leads us to formulate a new business cycle model. It is based on the dynamic multiplierapproach and the distinction between investment and implementation. The study of thenonlinear behaviour of the Kaldor‐Kalecki model represented by the second‐order delaydifferential equations is presented. It is shown that the dynamics depends crucially on thetime‐delay parameter T ‐ the gestation time period of investment. We apply the Poincaré‐Andronov‐Hopf bifurcation theorem generalized for functional differential equations. Itallows us to predict the occurrence of a limit cycle bifurcation for the time‐delay parameterT=T bif . The dependence of T=T bif on the parameters of our model is discussed. As T is increased, the system bifurcates to limit cycle behaviour, then to multiply periodic andaperiodic cycles, and eventually tends towards chaotic behaviour. Our analysis of the dynamicsof the Kaldor‐Kalecki model gives us that the limit cycle behaviour is independent of theassumption of nonlinearity of the investment function. The limit cycle is created only due tothe time‐delay parameter via the Hopf bifurcation mechanism. We also show that for a smalltime‐delay parameter, the Kaldor‐Kalecki model assumes the form of the Liénard equation. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • A. Krawiec & M. Szydlowski, 1999. "The Kaldor‐Kalecki business cycle model," Annals of Operations Research, Springer, vol. 89(0), pages 89-100, January.
  • Handle: RePEc:spr:annopr:v:89:y:1999:i:0:p:89-100:10.1023/a:1018948328487
    DOI: 10.1023/A:1018948328487
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    Citations

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    Cited by:

    1. Yüksel, Mustafa Kerem, 2011. "Capital dependent population growth induces cycles," Chaos, Solitons & Fractals, Elsevier, vol. 44(9), pages 759-763.
    2. Gori, Luca & Guerrini, Luca & Sodini, Mauro, 2015. "A continuous time Cournot duopoly with delays," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 166-177.
    3. Krawiec, Adam & Szydłowski, Marek, 2017. "Economic growth cycles driven by investment delay," Economic Modelling, Elsevier, vol. 67(C), pages 175-183.
    4. Irina Bashkirtseva & Davide Radi & Lev Ryashko & Tatyana Ryazanova, 2018. "On the Stochastic Sensitivity and Noise-Induced Transitions of a Kaldor-Type Business Cycle Model," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 699-718, March.
    5. Wu, Xiaoqin P., 2011. "Codimension-2 bifurcations of the Kaldor model of business cycle," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 28-42.
    6. Lixiao Hao & Vasilios I. Manousiouthakis, 2021. "Sustainability over sets and the business cycle," SN Business & Economics, Springer, vol. 1(6), pages 1-26, June.
    7. Riad, Driss & Hattaf, Khalid & Yousfi, Noura, 2016. "Dynamics of a delayed business cycle model with general investment function," Chaos, Solitons & Fractals, Elsevier, vol. 85(C), pages 110-119.
    8. G. Rigatos & P. Siano & T. Ghosh, 2019. "A Nonlinear Optimal Control Approach to Stabilization of Business Cycles of Finance Agents," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1111-1131, March.
    9. Eskandari, Z. & Avazzadeh, Z. & Khoshsiar Ghaziani, R., 2022. "Complex dynamics of a Kaldor model of business cycle with discrete-time," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    10. Yu, Jinchen & Peng, Mingshu, 2016. "Stability and bifurcation analysis for the Kaldor–Kalecki model with a discrete delay and a distributed delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 66-75.
    11. Irina Bashkirtseva & Alexander Pisarchik & Lev Ryashko & Tatyana Ryazanova, 2016. "Excitability And Complex Mixed-Mode Oscillations In Stochastic Business Cycle Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-16, February.
    12. Nikolaos Th. Chatzarakis, 2021. "Revisiting the role and consequences of Econophysics from a Marxian perspective," Bulletin of Political Economy, Bulletin of Political Economy, vol. 15(1), pages 45-68, June.
    13. Luca Guerrini & Adam Krawiec & Marek Szydlowski, 2020. "Bifurcations in economic growth model with distributed time delay transformed to ODE," Papers 2002.05016, arXiv.org.
    14. Orlando, Giuseppe, 2016. "A discrete mathematical model for chaotic dynamics in economics: Kaldor’s model on business cycle," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 125(C), pages 83-98.
    15. Szydłowski, Marek & Krawiec, Adam, 2005. "The stability problem in the Kaldor–Kalecki business cycle model," Chaos, Solitons & Fractals, Elsevier, vol. 25(2), pages 299-305.

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